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Artificial Intelligence Nanodegree

Introductory Project: Diagonal Sudoku Solver

Question 1 (Naked Twins)

Q: How do we use constraint propagation to solve the naked twins problem?
A: Constraint propagation is a techinque of imposing local constraints to reduce the global search space. In the case of Naked Twins, we had the constraint of only two values can be assigned to the square boxes. By eliminating the two values from each of its peer, we reduced the number of possibilites of the board (9/9 square)

Question 2 (Diagonal Sudoku)

Q: How do we use constraint propagation to solve the diagonal sudoku problem?
A: In order to solve Diagonal sudoku we introduced a new constraint to the unit list. So that every the board is solved, it will ensure that no diagonal elements have repeating elements.

Install

This project requires Python 3.

We recommend students install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project. Please try using the environment we provided in the Anaconda lesson of the Nanodegree.

Optional: Pygame

Optionally, you can also install pygame if you want to see your visualization. If you've followed our instructions for setting up our conda environment, you should be all set.

If not, please see how to download pygame here.

Code

  • solution.py - Fill in the required functions in this file to complete the project.
  • test_solution.py - You can test your solution by running python -m unittest.
  • PySudoku.py - This is code for visualizing your solution.
  • visualize.py - This is code for visualizing your solution.

Visualizing

To visualize your solution, please only assign values to the values_dict using the assign_value function provided in solution.py

Submission

Before submitting your solution to a reviewer, you are required to submit your project to Udacity's Project Assistant, which will provide some initial feedback.

The setup is simple. If you have not installed the client tool already, then you may do so with the command pip install udacity-pa.

To submit your code to the project assistant, run udacity submit from within the top-level directory of this project. You will be prompted for a username and password. If you login using google or facebook, visit this link for alternate login instructions.

This process will create a zipfile in your top-level directory named sudoku-.zip. This is the file that you should submit to the Udacity reviews system.

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Sudoku solver as part of AIND with Udacity

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